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Applicatio Mobile Hero

Making Smartphones
Smarter

AI That’s Portable

Long-Lasting Performance
for Mobile Products

Advanced real-time machine learning applications have moved to smartphones, supporting a variety of applications including facial ID, object recognition, enhanced digital photography, and immersive virtual reality. Smartphones now featuring multiple high-resolution cameras and popular social media apps are driving increased usage for video streaming. To improve user experience, mobile device makers are deploying neural networks in the traditional ISP (Image Signal Processor) pipeline to control traditional ISP functions like demosaicing, denoising, deblurring, and super-resolution. Eventually, neural networks may very well replace the full ISP pipeline. Finally, with the growth of mobile gaming, neural networks will see greater usage overall.

The Expedera Origin™ family of Deep Learning Accelerators (DLA) can reduce power consumption for all of these use cases, increasing battery life and improving the user experience. No other AI processor can offer the performance, power and size advantages that Expedera’s Origin IP offers smartphone ASIC and ISP developers.

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See Expedera chief scientist Sharad Chole present at Embedded Vision Summit on Tuesday, May 17 at the Santa Clara Convention Center

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